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README.md
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---
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# winslow-homer
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<Gallery />
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## Trigger words
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image = pipeline('a watercolor painting of birds flying over a body of water, with trees in the foreground and a sky filled with clouds in the background. [trigger]').images[0]
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image.save("my_image.png")
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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---
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# winslow-homer
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I developed a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. This LoRA fine-tuning process leveraged the exceptional quality of open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements.
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- https://huggingface.co/openfree/claude-monet
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- https://huggingface.co/openfree/pierre-auguste-renoir
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- https://huggingface.co/openfree/paul-cezanne
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- https://huggingface.co/openfree/van-gogh
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- https://huggingface.co/openfree/winslow-homer
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<Gallery />
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## Trigger words
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image = pipeline('a watercolor painting of birds flying over a body of water, with trees in the foreground and a sky filled with clouds in the background. [trigger]').images[0]
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image.save("my_image.png")
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```
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## Community: https://discord.gg/openfreeai
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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